Khalid Saeed

551 citations
20 papers · 340 · h-index 8

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • Protein Degradation and Inhibitors 2
    • Advanced biosensing and bioanalysis techniques 1
    • CAR-T cell therapy research 3

Khalid Saeed

16 papers receiving 337 citations

Peers

Khalid Saeed
Comparison fields: 5 of 63
  • Oncology 172
  • Biophysics 22
  • Cancer Research 52
  • Immunology 66
  • Molecular Biology 169
Replace Wenbao Yu with:
Wenbao Yu United States
Maria Teresa Melucci Italy
Suraj Venna United States
Debora Salerno Italy
Ronan Thibaut France
Ross J Porter United Kingdom
Federica Scarfì Italy
Romica Kerketta United States
Rohan P. Joshi United States
D. Guerry United States
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Citations per field
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Citations per year

Countries citing papers authored by Khalid Saeed

Since Specialization
Citations

This map shows the geographic impact of Khalid Saeed's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Khalid Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Saeed more than expected).

Fields of papers citing papers by Khalid Saeed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khalid Saeed. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Khalid Saeed. The network helps show where Khalid Saeed may publish in the future.

Co-authors

The 25 scholars most cited alongside Khalid Saeed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Khalid Saeed Line = papers co-authored together Khalid Saeed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019157
2 201672
3 201527
4 201826
5 200917
6 19999
7 20149
8 20247
9
CAUSATIVE AGENTS OF URINARY TRACT INFECTION IN DIABETIC PATIENTS AND THEIR PATTERN OF ANTIBIOTIC SUSCEPTIBILITY
20184
10 20253
11 20193
12 20252
13 20221
14 20251
15 20131
16 20211
17 20220
18 20230
19 20250
20 20160

About Khalid Saeed

Khalid Saeed is a scholar working on Molecular Biology, Oncology, Immunology, Pulmonary and Respiratory Medicine and Hematology, having authored 20 papers that have together received 340 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), Prostate Cancer Treatment and Research (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Protein Degradation and Inhibitors (2 papers), Cancer Genomics and Diagnostics (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Oncology (172 citations), Biophysics (22 citations), Cancer Research (52 citations), Immunology (66 citations) and Molecular Biology (169 citations). Khalid Saeed has collaborated with scholars based in Finland, United States and Ireland. Frequent co-authors include Tero Aittokallio, Satu Mustjoki, Päivi Östling, Jay Klievink, Olli Kallioniemi, Olli Dufva, Judith Leitner, Pilvi Maliniemi, Pekka Ellonen and Mikko Keränen. Their work appears in journals such as Blood, International Journal of Cancer, Cancer Research, BMC Genomics and Research and Practice in Thrombosis and Haemostasis.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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